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Gut transcriptome of replete adult female cattle ticks, 'Rhipicephalus (Boophilus) microplus', feeding upon a 'Babesia bovis'-infected bovine host

Andrew M Heekin, Felix D Guerrero, Kylie G Bendele, Leo Saldivar, Glen A Scoles, Scot E Dowd, Cedric Gondro, Vishvanath Nene, Appolinaire Djikeng, Kelly A Brayton

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)

Abstract

As it feeds upon cattle, 'Rhipicephalus (Boophilus) microplus' is capable of transmitting a number of pathogenic organisms, including the apicomplexan hemoparasite 'Babesia bovis', a causative agent of bovine babesiosis. The 'R. microplus' female gut transcriptome was studied for two cohorts: adult females feeding on a bovine host infected with 'B. bovis' and adult females feeding on an uninfected bovine. RNA was purified and used to generate a subtracted cDNA library from 'B. bovis'-infected female gut, and 4,077 expressed sequence tags (ESTs) were sequenced. Gene expression was also measured by a microarray designed from the publicly available 'R. microplus' gene index: BmiGI Version 2. We compared gene expression in the tick gut from females feeding upon an uninfected bovine to gene expression in tick gut from females feeding upon a splenectomized bovine infected with 'B. bovis'. Thirty-three ESTs represented on the microarray were expressed at a higher level in female gut samples from the ticks feeding upon a 'B. bovis'-infected calf compared to expression levels in female gut samples from ticks feeding on an uninfected calf. Forty-three transcripts were expressed at a lower level in the ticks feeding upon 'B. bovis'-infected female guts compared with expression in female gut samples from ticks feeding on the uninfected calf. These array data were used as initial characterization of gene expression associated with the infection of 'R. microplus' by 'B. bovis'.
Original languageEnglish
Pages (from-to)3075-3090
JournalParasitology Research
Volume112
Issue number9
DOIs
Publication statusPublished - 2013

Keywords

  • Gene Expression (incl Microarray and other genome-wide approaches)

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